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Welcome to Journal of Theoretical and Applied Information Technology

Editorial Board

PATRONProf. Niaz AhmadFCE, MOE, Islamabad, PAKISTAN

EDITOR IN CHIEFDr. Imran BabarHOD SE, APCOMS, Rawalpindi PAKISTAN

EDITORIAL BOARD

Dr. CHRISTOS GRECOSSchool of Computing, Engineering and Physical Sciences, University of CentralLancashire, Preston PR1 2E, UNITED KINGDOM.

Dr. YUSUF PISAN Department of Software Engineering, Faculty of Information Technology, Universityof Technology, Sydney, AUSTRALIA.

Dr. YUXIN MAOSchool Of Computer & Information Engineering Zhejiang Gongshang University,CHINA

Dr. MUHAMMAD SHERFaculty of Basic and Applied Sciences, Department of Computer Science,International Islamic University, Islamabad. PAKISTAN.

Dr. ZARINA SHUKUR Computer Science Dept., Fakulti Teknologi dan Sains Maklumat, UniversityKebangsaan Malaysia, 43600 Bangi, MALAYSIA.

Dr. CHRISTEL BAIER Faculty of Computer Science, Institute for Theoretical Computer Science, TechnicalUniversity Dresden, GERMANY.

Dr. NOR AZAN MAT ZIN Department of Information Science, Faculty of Information Science & Technology,National University of Malaysia (UKM) 43600 UKM BANGI, MALAYSIA.

Dr. KHAIRUDDIN BIN OMAR Faculty of Information Science and Technology,Universiti Kebangsaan Malysia, 43600Bangi Selangor DarulEhsan, MALYSIA.

Dr. TENGKU MOHD. BIN TENGKU SEMBOKFaculty of Information Science and Technology Universiti Kebangsaan,Malaysia, 43600 Bangi Selangor DarulEhsan, MALYSIA.

Dr PRABHAT K. MAHANTIDepartment of Computer Science and Applied Statistics (CSAS), Hazen Hall Room311, University of New Brunswick, Saint John, New Brunswick, CANADA.

Dr. R. PONALAGUSAMYDepartment of Mathematics, National Institute of Technology, Tiruchirappalli, TamilNadu, INDIA.

Dr. NITIN UPADHYAYComputer Science & Information Systems Group, Birla Institute of Technology andScience (BITS), PilaniGoa Campus, NH17B Bypass Road, ZuariNagar, Goa, INDIA.

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Dr. A. SERMET ANAGNEskisehir Osmangazi University, Industrial Engineering Department, BademlikCampus, 26030 Eskisehir, TURKEY.

Dr. YACINE LAFIFIDepartment of Computer Science, University of Guelma, BP 401, Guelma 24000,ALGERIA.

Dr. JAYANTHI RANJANInstitute of Management Technology, Raj Nagar, Ghaziabad, Uttar Pradesh, INDIA

Dr. ADEL M. ALIMINational Engineering School of Sfax (ENIS), University of SFAX, TUNISIA

Dr. SIKANDAR HAYAT KHIYALFaculty of Computer Sciences, Preston University, Islamabad, PAKISTAN

Dr. ADEL MERABETDepartment of Electrical & Computer Engineering, Dalhousie University, Halifax,CANADA

DR. HEMRAJ SAINICE&IT Department, Higher Institute of Electronics, Bani Walid. LIBYA

Dr. MAUMITA BHATTACHARYASOBIT, Charles Sturt University, Albury 2640, NSW, AUSTRALIA

Dr. SEIFEDINE KADRYLebanese International University, LEBONON

Dr. AIJUAN DONGDepartment of Computer Science, Hood College Frederick, MD 21701. USA

Dr. S.S.RIAZ AHAMEDMohamed Sathak Engineering College, Kilakarai, & Sathak Institute of Technology,Ramanathapuram , Tamilnadu, INDIA

Dr. ZURIATI AHMAD ZUKARNAINUniversity Putra Malaysia, MALAYSIA

Dr. CHELLALI BENACHAIBAUniversity of Bechar, ALGERIA

Dr. MOHD NAZRI ISMAILUniversity of Kuala Lumpur (UniKL) MALYSIA

Dr. VITUS SAI WA LAMThe University of Hong Kong, CHINA

Dr. WITCHA CHIMPHLEESuan Dusit Rajabhat University, Bangkok, THAILAND

Dr. SIDDHIVINAYAK KULKARNIUniversity of Ballarat, Ballarat, AUSTRALIA

Dr. S. KARTHIKEYANCaledonian College of Engineering, OMAN

Dr. DRAGAN R. MILIVOJEVIĆMining and Metallurgy Institute Bor Zeleni bulevar 35, 19210 Bor, SERBIA

Dr. ABDUL AZIZProfessor of Computer Science, University of Central Punjab, PAKISTAN



Dr.P.DANANJAYANProfessor, Department of ECE, PEC, Puducherry, INDIA.

Dr. E. SREENIVASA REDDYPrincipal Vasireddy Venkatadri Institute of Technology, Guntur, A.P., INDIA

Dr. SANTOSH DHONDOPANT KHAMITKARRamanand Teerth Marathwada University, Nanded. Maharashtra 431605, INDIA

Dr. M. IQBAL SARIPAN(MIEEE, MInstP, Member IAENG, GradBEM)Dept. of Computer and Communication Systems Engineering, Faculty of Engineering,Universiti Putra MALAYSIA

Dr. E. SREENIVASA REDDYPrincipal Vasireddy Venkatadri Institute of Technology, Guntur, A.P., INDIA

SHAHBAZ GHAYYURFaculty of Basic and Applied Sciences, DCS&SE, International Islamic University,Islamabad. PAKISTAN.

Dr. T.C.MANJUNATH,Professor & Head of the Dept.,Electronicis & Communication Engg. Dept,New Horizon College of Engg.,Bangalore560087, Karnataka, INDIA.

Dr. Nacer Eddine ZAROUR LIRE Laboratory, Computer Science Departement, University Mentouri of Constantine(UMC), ALGERIA

Dr. RIKTESH SRIVASTAVAAssistant Professor, Information Systems, Skyline University P O Box 1797, Sharjah,UAE

Dr. Mohd ZAINAL ABIDIN AB KADIR, PhD, MIEEECentre of Excellence on Lightning Protection (CELP)Dept. of Electrical and Electronics Engineering, Faculty of Engineering, UPM,Selangor, MALAYSIA

Dr. OUSMANE THIAREGaston Berger University, Department of Computer Science, UFR S.A.TBP 234 SaintLouis, SENEGAL

Dr. SIDDHIVINAYAK KULKARNIGraduate School of Information Technology and Mathematics University ofBallart AUSTRALIA

Dr. BONNY BANERJEESenior Scientist Audigence, FL, USA, The Ohio State University, Columbus, OH, USA

Dr. NICKOLAS S. SAPIDISDepartment of Mechanical Engineering, University of Western Macedonia Kozani GR50100, GREECE.

Dr. NAZRI BIN MOHD NAWISoftware Engineering Department, Faculty of Science Computer InformationTechnology, Universiti Tun Hussein Onn MALAYSIA

Dr. JOHN BABALOLA OLADOSULadoke Akintola University of Technology, Ogbomoso, NIGERIA

Dr. ABDELLAH IDRISSIDepartment of Computer Science, Faculty of Science, Mohammed V University Agdal, Rabat, MOROCCO



Dr. AMIT CHAUDHRYUniversity Institute of Engineering and Technology, Panjab University, Sector25,Chandigarh, INDIA

Dr. ASHRAF IMAMAligarh Muslim University, AligarhINDIA

Dr. MUHAMMAD UMER KHANDepartment of Mechatronics, Faculty of Engineering, Air University, Islamabad.PAKISTAN

Dr. MOHAMMED ALI HUSSAINDept. of Computer Science & Engineering, Sri Sai Madhavi Institute of Science &Technology, Mallampudi, Rajahmundry, A.P, INDIA

Dr. KHALID USMANIDepartment of Computer Science, Arid Agriculture University, Rawalpindi,PAKISTAN.

Dr. GUFRAN AHAMD ANSARIQassim University, College of Computer Science, Ministry of Higher Education,Qassim University,KINGDOM OF SAUDI ARABIA

Dr. Defa HuSchool of Information, Hunan University of Commerce, Changsha 410205, Hunan,P. R. of CHINA

Dr. Imran BabarHOD Software Engineering, APCOMS, Rawalpindi Pakistan

Dr. GHADI AbderrahimComputer Sciences Department, Faculty of Sciences and Techniques, Ancienne Routede l’Aéroport, Km 10, Ziaten. BP 416. Tanger MOROCCO

Dr. Hamid Ali Abed AlAsadiHead of Computer Science Department, Faculty of Education for Pure Science, BasraUniversity, Basra, IRAQ.

Shahzad A. Khan (Linguist)Lecturer English IMCB, FDE Islamabad.(Managing Editor/Linguist & Incharge Publishing)Journal of Theoretical and Applied Information Technology

**You can join the elite panel of JATIT as member technical editorial board if youhold a PhD in computing and have atleast 10 publications in InternationalJournals/Conferences. Please drop your CV at managing_editor at jatit.org. Memberslists and requests are reviewed at the end of every year in regional advisory panelmeeting.

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11/3/2016 Journal of Theoretical and Applied Information Technology - October 2016 Volume 92 No 1

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Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

Journal receives papers incontinuous flow and we willconsider articles from a widerange of Information Technologydisciplines encompassing themost basic research to the mostinnovative technologies. Pleasesubmit your papers electronicallyto our submission system athttp://jatit.org/submit_paper.phpin an MSWord, Pdf or compatibleformat so that they may beevaluated for publication in theupcoming issue. This journaluses a blinded review process;please remember to include allyour personal identifiableinformation in the manuscriptbefore submitting it for review,we will edit the necessaryinformation at our side.Submissions to JATIT should befull research / review papers(properly indicated below maintitle).

Journal of Theoretical and Applied Information Technology October 2016 | Vol. 92 No.1

Title: ENSEMBLE SELECTION AND OPTIMIZATION BASED ON SOFT SET THEORY FOR CUSTOMERCHURN CLASSIFICATION

Author: MOHD KHALID AWANG, MOKHAIRI MAKHTAR, M NORDIN A RAHMAN, MUSTAFA MAT DERIS

Abstract: Ensemble methods or multiple classifiers which combine decisions from many base classifiers have beenconfirmed to outperform the classification performance of any single classifiers. Despite having the abilityof producing the highest classification accuracy, ensemble methods have suffered significantly from theirlarge volume of base classifiers. Thus, in the previous work, we have proposed a novel soft set basedmethod to prune the base classifiers from heterogeneous ensemble committee and have demonstrated theability of our proposed soft set pruning algorithm in reducing a substantial number of classifiers while atthe same time producing the highest prediction accuracy. However, the pruning method only suggests asubset of relevant classifiers, and the search for the optimized and best classifiers is not yet considered.The selection of the best or optimized classifiers is carried out by checking all combinations of prunedclassifiers. In this paper, we extended our research by proposing a new soft ensemble selection andoptimization method to find the best subset of the pruned classifiers. The results of this work have proventhat our proposed method is able to search for the minimum number of classifiers in the ensemblerepository while at the same time maintaining or improving the classification performance. The proposedmethod is systematically evaluated using Customer Churn dataset taken from the UC Irvine MachineLearning Repository data set. This work proved that the proposed soft ensemble selection andoptimization method is able to search for the minimum number of classifiers in the ensemble repositorywhile at the same time improving the classification performance.

Keywords: Ensemble Selection, Customer Churn Prediction, Ensemble Optimization, Soft Set, Ensemble Methods

Source: Journal of Theoretical and Applied Information Technology

15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: REGION BASED IMAGE RETRIEVAL BASED ON TEXTURE FEATURES

Author: ABD RASID MAMAT, FATMA SUSILAWATI MOHAMED, NORKHAIRANI ABDUL RAWI, MOHDKHALID AWANG, MOHD.ISA AWANG, MOHD FADZIL ABDUL KADIR

Abstract: Most of Content Based Image Retrieval (CBIR) system use global texture features for representing andretrieving images. If local texture features are ignored during the initial stage of image processing, theperformance will be affected. Meanwhile the features extraction, if it is based on Color co-occurrenceMatrix (CCM) will provide the opportunities effective CBIR. Therefore, the main objective of this paperavoids the performance ineffectiveness and the same time opting for much effective CBIR. The problemsthat were highlighted will be tacked by considering the approach that is based on the local Haralickstexture features, specifically using Average Analysis (AA) and Principal Component Analysis (PCA)methods. The extraction by Haralicks texture feature was based on the predetermined CCM. Theexperimentation was done on the suggested ten categories of 1000 selected images from the Coral imagedatabase. The results portray, it is interesting to note that for certain image categories, only six features ofthe eleven Haralicks texture features namely homogeneity, sum of squares and sum average, sum variance,

difference entropy and information measure correlation I and known as significant� features provided thebest image retrieval. The performance has increased in the range of 8.5% to 26.0%, compared with theprevious researches. It is also indicated that the Average Analysis (AA)s combined significant featureshave achieved better performance than the Principal Component Analysis (PCA) in most categories. Thisfinding has important implication on the use of correct significant features from Haralick texture featuresfor certain image properties as well as leading to less computational processing time due to less.

Keywords: Color Co-Occurrence Matrix, Haralick Texture Features, Significant Features, Spatial Relationship.


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: A FRAMEWORK FOR DESIGNING MOBILE QURANIC MEMORIZATION TOOL USING MULTIMEDIAINTERACTIVE LEARNING METHOD FOR CHILDREN

Author: SYADIAH NOR WAN SHAMSUDDIN, NURUL FARIHAH ABU BAKAR, MOKHAIRI MAKHTAR,MOKHAIRI MAKHTAR, WAN MALINI WAN ISA, AZILAWATI ROZAIMEE, RHAFIZI YUSOF

Abstract: Quran is the fundamental holy book of Islam. Among the most important concerns is to learn it by heart.However, current method in Quranic schools is becoming less effective towards young generation. Thus,there is a need to find alternative solutions to memorize Quran for young Muslims. Mobile learning is analternative to conventional learning that will support the existing method. Mobile devices have made animmediate impact on teaching and learning practices. However, for mobile learning to be effective forchildren in memorizing Quran, it is necessary to find specific design guidelines and pedagogy to thislearning method. This paper aims at providing a unifying framework for developing Quran memorizerapplication using multimedia interactive method and learning theories for mobile learning.

Keywords: Quran Memorization, Mobile Learning, Game-Based Learning, Rote Learning, Chunking.


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15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: AGILE TESTING PRACTICES IN SOFTWARE QUALITY: STATE OF THE ART REVIEW

Author: CESAR GIL, JORGE DIAZ, MARIO OROZCO, ALEXIS DE LA HOZ, EDUARDO DE LA HOZ, ROBERTOMORALES

Abstract: In this paper you can find a review of articles related to agile testing practices in software quality, lookingfor theoretical information and real cases applied to testing inside a modern context, comparing them withthe standard procedures taking into account their advantages and relevant features. As final result, wedetermine that agile practices in software quality have wide acceptance and many companies have chosentheir use for all their benefits and impact on development software processes in several real applications,not necessarily IT governance ones, since other kind of technical applications have shown excellentresults on testing.

Keywords: Agile testing software, Scrum agile testing software, Kanban agile testing software, Test DrivenDevelopment agile test software, Behavior Driven Development test software, automation test software


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: ENABLING SECURE DATA TRANSACTION IN BIO MEDICAL ENGINEERING USING CCARTAPPROACH

Author: A. VELMURUGAN , T. RAVI

Abstract: Biomedical engineering, application is growing day by day. Major work carried by it is to manufacture themedical equipment based on the data of patient produced by professionals. The issue faced is the privacyand confidentiality of patient details that are transferred from professionals. In addition, other importantfactor is to retrieve the data from the database is other challenging process. This paper considers theseissues and proposes a method by transacting the data with security in order to provide privacy. CARTapproach is implemented to retrieve the required data from the database in an efficient way. It works bysearching the content in tree structure which saves the searching time and classification supportseffective data (required) from such a huge database. This overcomes the misprocessing of data that aredone by manual it leads to loss in time and cost for manufacturing the equipment. The proposed workretrieves the exact data in effective and efficient manner.

Keywords: Data transaction, privacy, CART, Security and confidentiality.


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: PARAMETER ESTIMATION OF GEOGRAPHICALLY WEIGHTED MULTIVARIATE t REGRESSIONMODEL

Author: HARMI SUGIARTI, PURHADI, SUTIKNO, SANTI WULAN PURNAMI

Abstract: The use of ordinary linear regression model in spatial heterogeneity data often does not suitable withinthe data points, especially the relationship between response variable and explanatory variables.Therefore, the geographically weighted t regression (GWtR) is used to overcome spatial heterogeneityterm. The model is an extension of geographically weighted regression (GWR) which the response variablefollows multivariate t distribution. The aim of this study is to obtain the estimator of geographicallyweighted multivariate t regression (GWMtR) model with known degrees of freedom. The maximumlikelihood estimation (MLE) method will be applied to maximize a weighted logarithm likelihood function.Based on the EM algorithm, the estimator of geographically weighted multivariate t regression model canbe determined.

Keywords: Maximum Likelihood Estimation (MLE), EM Algorithm, Geographically Weigted Regression, Multivariate tModel


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: SELECTION SYSTEM OF THE BOARDING HOUSE BASED ON FUZZY MULTI ATTRIBUTE DECISIONMAKING METHOD

Author: DEVIE ROSA ANAMISA, AERI RACHMAD, RULLY WIDIASTUTIK

Abstract: Boarding house is a residence that is temporary and in the form of blocks of rooms in various sizes whichare inhabited by students and employees from outside the area. There is a way of selecting the bestboarding house which is influenced by several criteria, such as the rental price, amenities, number ofrooms and other criteria such as distance to the destination, the location and the time limit on a visit. Thenumber of criteria can easily select the best boarding based on criteria. However, little information on theboarding house has the shortest distance to the destination, this causes problems in choosing a boarding







location so that it takes a decision support system for selecting a boarding locations based onconsiderations. Some of the solutions to solve the problem of selecting a boarding house have not beendone. Hopefully it can provide a satisfactory success which has not been achieved. Therefore, thisresearch makes a decision support system to solve the problem of selecting boarding house based on thecriteria that have been determined using the method of Fuzzy Multi Attribute Decision Making (FMADM)to generate the best alternative boarding house and know the criteria which became the characteristicsand behavior of those searchers boarding houses which have most domination and influence the decisionof the boarding searcher to select a boarding house. The selection process for some alternatives onFMADM needs to determine the criteria early in the process as a reference for decision making, while themethod of Weighted Product (WP) is used to normalize weight value that indicates the level of importanceof each criteria. This research has five levels such as very low, low, moderate, high, very high. Variousexperiments were conducted to determine the criteria of FMADM method (such as location, district,village, gender of boarding house, minimum price and maximum price) as well as to obtain the bestalternative from the boarding house. Experimental results showed that FMADM methods that have beendeveloped in this study were able to solve the problem selecting the best boarding house from the highestalternative to alternate the lowest characteristics behavioral of home seekers the most superior in theselection of boarding houses, such as the criteria of the water conditions, the price of boarding houses,facilities, and the distance from the boarding house to the destination. Success rate of 100 respondentsfrom 18 types of criteria were tested using the data in Sukolilo area, Surabaya City.

Keywords: Descision Support System, Boarding House, Method, Fuzzy Multi Attribute Decision Making, WeightedProduct.


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: VARIATIONAL METHODS OF SYNTHESIS OF SIGNALS BASED ON THE FREQUENCY OF IDEAS

Author: EVGENIY G. ZHILYAKOV, SERGEY P. BELOV, ANDREI A. CHERNOMORETS, VLADIMIR V.KRASILNIKOV

Abstract: The article considers the constructing a function of time, which must have a priori given properties. Inradio communications and communications main attention is usually given to the frequency distribution ofsignal energy, wherein the signals are synthesized either on the basis of predetermined reference values atdiscrete time points (interpolation or estimation of a derivative) or on the requirements to achieve maximumenergy concentration of the synthesized signal in a predetermined low frequency band. As part of thiswork it was developed a new method of synthesis of signals with use of reference values, in which theconstruction of interpolating function is done based on the integrating of the evaluation of a derivative ,calculated using the variational principle to minimization of its energy in a limited frequency range, that isdefined by the sampling rate. In addition to that we got relationships describing a discrete signal of finiteduration with a guaranteed share of power leakage outside the specified frequency bandwidth.

Keywords: Variational Principles Synthesis Of The Signal On The Base Of Frequency Representations, OptimalSubband Frequency Synthesis.


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: INTEGRATION OF SCIENTIFIC EXPERIMENTAL DATA THROUGH ONTOLOGY APPROACH: AREVIEW

Author: NUR ADILA AZRAM, RODZIAH ATAN

Abstract: Data integration in scientific experiments is important to the scientists in many research domains. This isbecause many experimental data involved multidiscipline areas and run in different machines orinstruments which results in data stored in different ends and human intervention is required in forming achain of data analysis. Ontology is one of the approaches that have been used in data integration in manydomain areas. This paper described and reviewed ontology in data integration effort. Furthermore, thestate of research for ontology-based integration of scientific experiment data also covered in this paper.

Keywords: Data Integration, Ontology, Scientific Experiment, Scientific Research Data And Ontology-Based DataIntegration


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: VERIFICATION ON THE TRUSTWORTHINESS OF INFORMATION: A STUDY

Author: MOHAMAD NAZRI KHAIRUDDIN YAP, MASSILA KAMALRUDIN, AHMAD ZAKI A BAKAR,SAFIAH SIDEK

Abstract: The pervasive use of social media has generated massive information sharing among its users. Given thefluidity and excessive information available online, issues relating to the trustworthiness of informationhave become a concern among the users and authorities. Sensational and unreliable information shared inthe social media may cause and harm the reputation of an individual, product, organisation or government.Therefore, there is a need to develop a mechanism that helps users to verify the trustworthiness ofinformation that feed in the social media so that they can decide whether to trust or to ignore the






information. This paper reports a review on the analysis of the existing work related to trustworthiness ofinformation. The analysis were based on three questions that address the definition of trustworthiness ofinformation, factors influencing trustworthiness of information and existing tools to verify trustworthinessof information. Based on thirty nine selected articles reviewed, it was found that the verification on thetrustworthiness of information approach is required. It is anticipated that the adoption of this approachwill help to educate and make the public users aware of the level of trustworthiness of information, hencedeveloping an informed, safe and ethical users of media content.

Keywords: Information Trustworthiness, Factors, Social Media, Tools, Approaches


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: INTEGRATION OF MEDICAL SIMULATION EQUIPMENT INTO UNIFIED DATA SYSTEM

Author: ANDREY ALEKSEEVICH SVISTUNOV, DENIS MIHAYLOVICH GRIBKOV, SERGEY SERGEEVICHSMIRNOV, DMITRII ALEKSANDROVICH SYTNIK, ALEKSANDR LVOVICH KOLYSH

Abstract: At present there are no unified standards, regulations, protocols of data transfer from medical simulatorsby various manufacturers. This prevents development and improvement of automation systems ofsimulation training. This work is aimed at development of software which will provide merging of medicalsimulators and training devices by various manufacturers into unified data system. This target is based ondeveloped and documented binary data format, where data are presented in the form of coupled key/valuepair. On the basis of the developed binary data format the structure of data package has been developedas well as command list for interaction between client and server applications. Using the developed dataformat and TCP/IP proprietary data exchange protocol has been developed. As an alternative, the dataexchange protocol on the basis of JSON format has been developed. The developed client and serverapplications facilitate data exchange between software of medical simulation equipment and designed datasystem. The developed software has been tested on the following medical simulators and training devices:Resusci Anne (Laerdal), Lap-X (Epona), and Lap Mentor (Simbionix). In the future it is planned to expandpossibilities of the data system and to connect new simulators and training devices to this system. Theprotocol and software, developed in this work, make it possible to combine data from various medicalsimulators in the frame of unified data system in real time. The obtained results facilitate automation oftraining processes on the basis of medical simulators.

Keywords: Simulator, Simulation Training, Medical Training Device, Data Base, Software, Data System


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: FACTORS AFFECTING GLOBAL VIRTUAL TEAMS� PERFORMANCE IN SOFTWARE PROJECTS

Author: ALI YAHYA GHENI, YUSMADI YAH JUSOH, MARZANAH A. JABAR, NORHAYATI MOHD ALI

Abstract: Today the trend is to perform software development work via distributed geographical area among team,individual or even as an organization. However, due to the global market and international presence ofmany companies, there is a need to implement a global virtual teams. The global virtual team members aregradually engaged in globalized business environments across space, time and organizational boundariesvia information and communication technologies. A global virtual team relies on communication,

collaboration, and information exchange are the most important criteria in global virtual teams�operations. The purpose of this paper is to answer two research questions. The first research question is

to identify the factors affecting global virtual teams� performance. A systematic literature review wasconducted to answer the first research question. The second research question is on what the rank of the

factor affecting the global virtual teams� performance according to their level of effect on global virtual

teams� performance. Online survey was conducted within 103 developers and IT managers from eight ITcompanies to answer the second research question. The Statistical Package for Social Science (SPSS 22)was used to analyze the collected data. In this study, we investigated factors that affect global virtual

teams� performance; factors considered include cultural differences, language problems, time-zonedifferences, team size, technical problems, lack of trust, lack of sufficient training, and ICT problems. Also

the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams�

performance. On the other hand, team size is the lowest level of effect on global virtual teams�performance.

Keywords: Global software projects, Global Virtual Teams (GVTs), performance factors


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: CERTIFICATE MECHANISM IMPROVEMENT FOR SECURING OPTIMIZED LINK STATE ROUTINGPROTOCOL IN MOBILE AD HOC NETWORKS

Author: ALAA ABDULLAH MAJHOOL, NOR EFFENDY OTHMAN

Abstract: Mobile Ad Hoc Network (MANET) comprises a set of wireless mobile nodes which dynamically generatea temporary network devoid of application of any present network infrastructure and centralizedadministration. Basically, Optimized Link State Routing (OLSR) is a security problem emanating from






attacks. When handling packet forwarding, several types of availability as well as integrity attacks exist,including fabrication, modification, misrouting and dropping whether full or partial. This research utilizesthe Secure Optimized Link State Routing (OLSR mechanism which includes certificate authorized nodes(CAs) and RSA algorithm to enhance the security and provide secure routing for OLSR routing protocol,through detection of malicious nodes that perform black hole attack. The proposed protocol is called(SOLS) mechanism. The aim of using the RSA algorithm with certificate authorized nodes (CAs) is to findthe secure path from the source to the destination and to detect the black hole attack. We have evaluatedthe performance of SOLS mechanism by designing simulation using MATLAB. We have compared our

mechanism with the performance of protocol OLSR and Baadachi�s approach. The comparison wasconducted based on the detection ratio, packet delivery ratio, routing overhead, total network load,average delay and source traffic sent & destination traffic received. The SOLS outperformed the

Baadachi�s approach under wide network performance metrics and settings. The SOLS improved the

detection ratio by 4% compared to Baadachi�s approach; the implication of this finding is that SOLS canbe applied to MANET to detect black hole attack.

Keywords: Mobile Ad Hoc Network, Ranking Strategy, RSA Algorithm, MATLAB, Optimized Link State Routing,Certificate Authorized Nodes


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: EXTRACTING DRUG-DRUG INTERACTIONS FROM BIOMEDICAL TEXT USING A FEATURE-BASEDKERNEL APPROACH

Author: ANASS RAIHANI, NABIL LAACHFOUBI

Abstract: Discovering unknown drug interactions is of great importance for healthcare professionals since these

interactions can become extremely dangerous and can affect patient�s safety. Since newly discovereddrug interactions are reported in scientific papers, developing text mining techniques to automaticallyextract those interactions from unstructured texts is of great importance. All state-of-the-art systemsevaluated on the standard DDIExtraction 2013 challenge corpus didn't exceed the threshold of 70%, whichmeans that developing more powerful systems to manage this task still very important. In this paper wepresent a new feature-based kernel method to extract and classify drug interactions described inbiomedical literature. Like many previous works, our method consists of two steps. First we detectinteracting drug pairs, and then we classify each extracted pair into one of four interaction categories. Toperform the first step, we have enhanced an existing feature-based system by adding new features,correction patterns, and trigger words. To perform the second step, we have built a new feature-basedkernel classifier that exploit the lexical field particularity of each interaction type. This classifier iscomposed of 4 binary classifiers work sequentially. When evaluated on the DDIExtraction 2013 challengecorpus, our system achieved an F1-score of 71.14%, as compared to 69.75% and 68.4% reported by the toptwo state-of-the-art systems based respectively on Convolutional Neural Networks and graph kernel withcontext vectors methods.

Keywords: Drug�drug interaction, Biomedical literature, Feature-based kernel approach , Biomedical Informatics ,Natural Language Processing


15th October 2016 -- Vol. 92. No. 1 -- 2016

Full Text

Title: OPTIMAL FEATURE SELECTION FOR CLASSIFICATION OF ELECTRICITY CONSUMPTION

Author: ZUHAINA ZAKARIA, NOORITAWATI MD TAHIR

Abstract: Feature selection is the essential process to obtain the best feature vectors in pattern recognition system.

These feature vectors contain information describing the original data�s important characteristics. In thisresearch, a framework based on factor analysis technique namely the Principal Component Analysis (PCA)is performed to determine the best features extracted from the daily load curve prior to clustering process.

The rules of thumb applied include Bartlett�s test of sphericity, Kaiser-Meyer-Olkin (KMO) measure,

Kaiser Criterion, Scree test along with Varimax approach. Accordingly, KMO as well as Bartlett�s testsuggested the data factorability is significant. Furthermore, Kaiser Criterion and Scree test together withcomponent matrix approach implied that the first two most significant factor must be retained whilstVarimax approach confirmed that clustering analysis should comprise of the entire load curve values.Upon selection of features, the capability of fuzzy clustering in classifying these features attained from 247feeders in a particular distribution network is examined. Initial results demonstrated the effectiveness offeature selection process and the potential of fuzzy clustering in particular the fuzzy c- means (FCM) inclassifying electrical energy consumption.

Keywords: Feature Selection, Load profiling, clustering, fuzzy relation, Principal Component Analysis


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: IMPROVING SERIOUS GAME DESIGN THROUGH A DESCRIPTIVE CLASSIFICATION : ACOMPARATION OF METHODOLOGIES

Author: SLIMANI ABDELALI, SBERT MATEU, BOADA IMMA, ELOUAAI FATIHA, BOUHORMA






MOHAMMED

Abstract: Serious game provides an instructional tool to make the learning process more enjoyable, easier tomemorize and effective. It combines pedagogy goals and game play to increase the participant interest andengagement compared to traditional methods. In this paper, we compare several methodologies of gamedesign relative to our classification proposal; it can assist the analysis and evaluation of serious gamedesign, we illustrate how this classification helps several actors of design to make more informeddecisions about the adequate methodology. Finally, we discuss the differences in the use of serious gamedesign methodologies in the follow-up of the statistics of the comparative study.

Keywords: Serious Game; Learning; Game Design; Comparative Study.


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: IMPROVEMENT OF THE METHODOLOGY FOR GRAIN QUALITY ASSESSMENT

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Abstract: In the article - assessment of the potential properties of the grain; analysis of technological schemes,options, and select the minimum number of parameters to take into account the effect of the complex formof physical and chemical structural, mechanical and biological properties of the processed grain on thebasis of factor analysis

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15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: A HYBRID GENETIC AND BEE COLONY OPTIMIZATION ALGORITHM FOR TEST SUITEPRIORITIZATION

Author: R.P. MAHAPATRA, RITVIJ PATHAK, KARAN TIWARI

Abstract: In the software industry, any software that has been developed needs to go through a maintenance phase.It can typically last from 10 to 15 years. Software maintenance is the most cumbersome yet crucial activityfor developers and users alike. Typically, in a Software Development Life Cycle, a software goes fromminor to major changes/modifications/updates to provide smooth end user functioning. This entireprocess of testing the modified software repeatedly, is called as Regression Testing. ExhaustiveRegression testing is not possible because of time and budget constraints. Because of this, we havedeveloped several techniques to prioritize test cases in order to reduce time and effort effectively. The twovery well researched algorithms in this field are: Bee Colony Optimization and Genetic Algorithm. In thispaper, we have formulated a fusion (read hybrid) algorithm based on these two. The Hybrid Algorithmderives a test sequence from the initial population, runs it through a genetic loop and finally applies scoutbee path exploration to achieve maximum fault coverage in minimum number of executions. Fault DetectionPercentage has been calculated based on the results and a comparison with optimal solution has beenpresented.

Keywords: Bee Colony Optimization, Genetic Algorithm, Test Suite Prioritization, Regression Testing, Test SuiteReduction


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: STABILIZATION OF HUMAN HEART USING PID CONTROLLER

Author: M.AABID, A.ELAKKARY, N.SEFIANI

Abstract: In the Aim of making an improvement on patient�s quality of life, especially the development of anoptimized technique for Hydro-electromechanical (HEM) stimulation and regulation of the Human Heart,This paper simulates the control and the command of the human heart based on three main functions:hydraulic, electrical and mechanical parameters. The based MATLAB mathematical model will primary helpto understand the proper functioning of heart attack. In this way we disturb a cardiovascular system witha noise (like Arousal, Anxiety ,disease) coming from human brains and we try to stabilised the wholesystem by applying a command from PID controller. This research especially focuses on dealing withhealth care problems to improve quality patients life with heart medical problems. By analysis study ofresults of the simulation of the whole system by using MATLAB it is found that the overall response ofthe disturbed system regulated by the adaptive controller is quite like the normal Heart signal.

Keywords: Proportional Integral Derivative (PID (), Human Heart, Control and command, Pacemaker, HydroElectromechanical System


15th October 2016 -- Vol. 92. No. 1 -- 2016

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Title: MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM USING LDR BASED ON SELECTIVESMALL RECONSTRUCTION ERROR

Author: SAVITHA G, DR. VIBHA L., DR. VENUGOPAL K. R.

Abstract: In Biometrics, physiological or behavioral features are utilized to validate an individual's identity. Though,a substantial amount of research has carried out in this field, unimodal biometric frameworks regularlyexperience some limits because of non-universal biometrics attributes, vulnerability to biometric spoofingor lack of accurateness. In this paper, the accuracy problem is addressed through multimodal biometricfusion. Our proposed multimodal biometric fusion methodology offers face and fingerprint as biometrictraits as an input for sanctuary purpose that are not unique to each other of the human body. Here, weinclude Wiener filter for preprocessing phase and Discrete Wavelet Transform (DWT) for the fusionprocess of the two traits. Also, a linear discriminant regression classification (LDRC) algorithm has beenproposed. We propose selective small reconstruction error (SSRE) which helps to select the classes,wherein chances to misclassifies the classes are considered when calculating the between-classreconstruction error (BCRE). After maximizing the ratio of BCRE and within-class reconstruction error(WCRE) an optimum projection matrix is obtained through which a high discrimination value can beachieved for classification. Finally, the experimentations are carried out and our proposed LDRCmethodology performance is found better than the existing LRC in terms of accuracy, FAR, FER, EER.

Keywords: Biometric Authentication, Between-Class Reconstruction Error, Discrete Wavelet Transform, Wiener Filter,Within-Class Reconstruction Error.


15th October 2016 -- Vol. 92. No. 1 -- 2016

Full Text

Title: ZAHMAH SOCIAL FORCE MODEL FOR PEDESTRIAN MOVEMENT

Author: AHMAD ZAKWAN AZIZUL FATA, SARUDIN KARI, MOHD SHAFRY MOHD RAHIM, TANZILASABA, AMJAD REHMAN

Abstract: The Social Force Model is one of the well-known approaches that could successfully simulate

pedestrian�s movement realistically. However, it is not suitable to simulate a complex pedestrianmovement. Hence, this research proposed a novel model which improved the Social Force Model forsimulating high density crowd such as Tawaf. Tawaf is an Islamic ritual, which requires agents to encirclethe Kaabah. This ritual has been complex yet unique, due to its capacity, density, and variousdemographic backgrounds of the agents. A certain set of rules that must be followed by each agent, whichintroduces anomalies in the flow around the Kaabah. The agents also will be assigned with uniqueattributes such as; gender, walking speed and intention outlook to make the simulations more realistic.The findings of this research will contribute to the simulation activities of pedestrians in a highly densepopulation.

Keywords: Autonomous Agents, Behaviour, Force, Tawaf, Pedestrians.


15th October 2016 -- Vol. 92. No. 1 -- 2016

Full Text

Title: IMPLEMENTATION OF PARALLEL ALGORITHM FOR LUC CRYPTOSYSTEMS BASED ON ADDITIONCHAIN BY A MESSAGE PASSING INTERFACE

Author: ZULKARNAIN MD ALI, ARNIYATI AHMAD

Abstract: The LUC cryptosystem is a modification of RSA cryptosystem. It was based on Lucas Function and hasbeen introduced by Smith and Lennon. The computation of the LUC Cryptosystem is totally based on thecomputation of Lucas Function. Fast computation algorithm is required since the public key, message,primes are all big enough in order to have very secure cryptosystems. In this paper, the Addition Chaintechnique will be implemented for a parallel computation algorithm. In this case, the public key will be turninto the suitable array where this array will be used for computation of LUC cryptosystem based onAddition Chain. This Addition Chain will be use in manipulating the Lucas Functions properties such asV2n, V2n+1 and V2n-1 to find the fast computation techniques for Lucas Functions. The capability of thestandard Message Passing Interface (MPI) is implemented. The process run on special distributed memorymultiprocessors machine known as Sun Fire V1280. The proposed techniques can reduce a computationtime for LUC Cryptosystem computation compare to the computation algorithm for one processor. As acomparison, the computation time for one processor and several numbers of processors are also included.

Keywords: Parallel Algorithm, Addition Chain, MPI, Public Key Cryptosystem.


15th October 2016 -- Vol. 92. No. 1 -- 2016

Full Text




Journal of Theoretical and Applied Information Technology 15

th October 2016. Vol.92. No.1

© 2005 - 2016 JATIT & LLS. All rights reserved.

ISSN: 1992-8645 www.jatit.org E-ISSN: 1817-3195

52

SELECTION SYSTEM OF THE BOARDING HOUSE BASED

ON FUZZY MULTI ATTRIBUTE DECISION MAKING

METHOD

1DEVIE ROSA ANAMISA,

2AERI RACHMAD,

3RULLY WIDIASTUTIK

1,2,3Faculty of Engineering, University of Trunojoyo Madura, Indonesia

E-mail: [email protected],

[email protected]

ABSTRACT

Boarding house is a residence that is temporary and in the form of blocks of rooms in various sizes which

are inhabited by students and employees from outside the area. There is a way of selecting the best

boarding house which is influenced by several criteria, such as the rental price, amenities, number of rooms

and other criteria such as distance to the destination, the location and the time limit on a visit. The number

of criteria can easily select the best boarding based on criteria. However, little information on the boarding

house has the shortest distance to the destination, this causes problems in choosing a boarding location so

that it takes a decision support system for selecting a boarding locations based on considerations. Some of

the solutions to solve the problem of selecting a boarding house have not been done. Hopefully it can

provide a satisfactory success which has not been achieved. Therefore, this research makes a decision

support system to solve the problem of selecting boarding house based on the criteria that have been

determined using the method of Fuzzy Multi Attribute Decision Making (FMADM) to generate the best

alternative boarding house and know the criteria which became the characteristics and behavior of those

searchers boarding houses which have most domination and influence the decision of the boarding searcher

to select a boarding house. The selection process for some alternatives on FMADM needs to determine the

criteria early in the process as a reference for decision making, while the method of Weighted Product (WP)

is used to normalize weight value that indicates the level of importance of each criteria. This research has

five levels such as very low, low, moderate, high, very high. Various experiments were conducted to

determine the criteria of FMADM method (such as location, district, village, gender of boarding house,

minimum price and maximum price) as well as to obtain the best alternative from the boarding house.

Experimental results showed that FMADM methods that have been developed in this study were able to

solve the problem selecting the best boarding house from the highest alternative to alternate the lowest

characteristics behavioral of home seekers the most superior in the selection of boarding houses, such as the

criteria of the water conditions, the price of boarding houses, facilities, and the distance from the boarding

house to the destination. Success rate of 100 respondents from 18 types of criteria were tested using the

data in Sukolilo area, Surabaya City.

Keywords: Descision Support System, Boarding House, Method, Fuzzy Multi Attribute Decision Making,

Weighted Product.

1. INTRODUCTION

Boarding house is a temporary home in the form

of block - a block of rooms with different sizes [1].

Boarding houses selected students, workers as a

temporary home because a place of study or work

far from their homes. Each boarding house has

different criteria so it affects the price and its

convenience. Moreover, selecting a boarding house

requires some consideration in determining the

ideal boarding house which is comfortable and in

accordance with the criteria expected. Little

information about boarding houses may cause

problems in choosing the location of the boarding

house near the destination, therefore it takes a

decision support system to give information about

the boarding house that matches the desirable

consideration. The selection of a boarding-based

geographic information system (GIS) requires the

services of Google Maps into a website using the

Google Maps API to provide information about the

boarding house related to its form of instructions

which has efficient way to include information

about the price, type of building, area and facilities

of the boarding house itself [1].





53

With the development of information

technology, it increases the ability of computers to

solve problems in various fields, such as computer-

based decision support system. Decision support

system is needed to provide the best solution [2].

There are several solutions to solving problems in

choosing a boarding house which have not been

done. Choosing the right boarding house in

Indonesia is complex because there are several

criteria which influence the problems solving in

finding a best boarding house, such as the distance

rental of boarding houses which have at least six

months and a maximum of twenty-four months.

The building type of boarding house has similarities

with building houses, the building usually has

maximum three floors which each floor has six

rooms and the room size is about 3x5 meters. The

boarding house rental prices every 6 months is

approximately 1.5 million rupiah. In addition,

boarding houses have also been affected by the

criteria of comfort in the terms of facilities such as

water, electricity, parking, room size, room

capacities, etc. The criteria of the rental price is

influenced by the proximity of the boarding house

distance to destination, where the distance is too

close to the place of destination that rental prices

become too expensive. Therefore, this research is

needed a method to choose a boarding house based

on some certain criteria. In the previous research, it

was solving complex problems using traditional

methods such as Analytic Hierarchy Process (AHP)

but insufficient to solve complex problems [3][4].

FMADM method is a method to result optimal

alternative of a number of alternatives to certain

criteria. The importance of FMADM method is to

determine the weight values for each attribute, then

it is continued by the ranking process for selecting

alternatives that have been given [5]. There are

three approaches to find the weight values of

attributes, such as subjective approach, objective

approach and an integrated approach between both

of subjective and objective. The weight values are

determined by the subjectivity of the decision

makers in the subjective approach so it is multiple

factors on the process of ranking alternatives which

can be determined freely. In this research, ranking

process uses the method of Weighted Product

(WP). WP method is one method of solving Multi-

Attribute Decision Making (MADM) to evaluate

several alternatives to a set of attributes or criteria,

where each attribute join no dependent with each

other [6]. WP method uses the normalization

process, where a rating of each attribute should be

raised to the relevant attribute weights [7].

In this research, FMADM method determines the

criteria referenced in the decision, while WP

method is for normalization of weight value which

indicates the level of importance of each criteria

into five levels (such as very low, low, moderate,

high, very high). The purpose of this research is to

develop a decision support system FMADM

method to generate the best alternative boarding

house and know what criteria that characterize the

most dominant behavior of home seekers that may

influence the decision of the seeker boarding to

selecting house boarding.

2. SYSTEM DESIGN

This research has a resolution to find the best

boarding house in Indonesia because most of

boarding houses Indonesia is also lived by the

landlord. In this situation, people get difficulties in

determining what type of boarding house which is

best for them because they need to adapt with their

landlord too. This problem can be solved the

application in this research. It can help students or

workers in finding that best boarding house with

several criteria, such as the distance of at least 6

months lease, unlike the hotels that can be rented at

any time with a lot of class. Meanwhile, the

boarding houses are houses that are rented based on

the room sizes and generally each floor has only

one bathroom, one kitchen, so the occupant can

share and take turns. Besides, the rental price per

room valid for at least six months and the price is

affected by distance proximity of boarding houses

to the destination, which is getting close to the

point of interest, the more expensive the rental

price. Data input from this research is the criterion

data from his rented house in the area Sukolilo,

Surabaya, East Java, Indonesia, (such as 50 houses

of regions Gebang, 50 houses of the area Keputih,

and 50 houses of home area of lecturers in ITS

Campus) based on 18 data criteria which are shown

in Table 1. Each criterion has a weight value of

each alternative and it has been divided into 5

levels, as shown in Figure 1. Based on observations

and interviews, every inhabitants of the boarding

house of 100 respondents indicates that they dislike

boarding house on weighs 0.2 (very less) while the

most preferred has a weight of 1 (very good).





54

Table 1. Data Criteria for Boarding House

No Type of

Criteria

Sub Criteria

1. Price 1. Rental Price

2. Rental prices of electronic

equipment

2. Facilities 3. Water

4. Electricity

5. Place for drying

6. Places to Wash

7. Number of Bathroom

8. The size of the Bathroom

9. Kitchen room

10. TV

11. Parking Place

3. Rooms 12. Number of rooms

13. Room size

14. Room capacity

15. Room Facility

4. Other Criteria 16. The distance from the

destination

17. Visiting hours for night

18. Locations

Figure 1. Graph of Alternative Weight for Each Criterion

Searching the best boarding house based on the

desired criteria will require a decision support

system. The decision is selecting an activity or

action strategy with qualified, variable; and the

model is determined to solve the problem.

According to Mat and Watson, DSS is an

interactive system that can help in decision-making

through the use of data and decision models to

solve the problem that are semi-structured and

unstructured [8]. There are several models which

are used in developing decision support systems,

one uses a model FMADM. FMADM is a method

for finding the optimal alternative to determine the

weight values for each criterion and continued

ranking process for selecting alternatives that have

been given [9]. There are three approaches to find

the weight values of attributes, such as subjective

approach, objective approach and an integrated

approach between both of subjective and objective.

Each approach has its advantages and

disadvantages. The weight values are determined

by the subjectivity of the decision makers in the

subjective approach so it is multiple factors on the

process of ranking alternatives which can be

determined freely. While the weight value is

calculated mathematically on an objective

approach, it ignores the subjectivity of decision-

makers [10]. The concept of the problem is

evaluating alternative m Ai (i = 1,2, ..., m) to a set

of attributes or criteria Cj (j = 1,2, ..., n), where each

attribute is not interdependent with each other. This

method requires that the decision maker determines

the weights for each attribute. Based on the data

types which are used in each performance of

alternatives, FMADM can be divided into three

groups: all data used are data fuzzy, all the data

used are data crisp, or the data used are a mixture of

data which are fuzzy and crisp. If the data given in

the form of linguistic fuzzy, then the data must be

first converted to the form of fuzzy numbers, then it

is converted again into crisp numbers. Here are

several methods that can be used to solve the

problem FMADM, such as Simple Additive

weighting method (SAW), Weighted Product (WP),

ELECTRE, Technique for Order Preference by

Similarity to Ideal Solution (TOPSIS) and

Analytical Hierarchy Process (AHP) [11]. In this

research, using WP method is one method of

settlement on the issue of Multi-Attribute Decision

Making (MADM) to evaluate several alternatives to

a set of attributes or criteria, where each attribute is

mutually dependent with each other [6]. WP

methods is used for the process of normalization,

which should be raised to a power rating of each

attribute in advance with the relevant attribute

weights [7].

The steps of method of FMADM and WP method

for decision support system for the selection of

Boarding House are (1) Determine the criteria

referenced in the decision (Ci), (2) Determining the

weight value that indicates the level of importance

of each criteria (W) into 5 set, (3) any decision of

selecting a number of alternatives based on

predetermined criteria, (4) Determining the weight

value of each alternative for each criterion as in

Figure 1, (5) Prepare a matrix decision (X) based





55

on the weight of importance and weighting

alternative, (6) doing that will select the process of

ranking the alternatives that have been selected by

the decision makers, (7) the process of preference

for each alternative (V) as defined in Equation 1.

The process of ranking is done by using WP. There

are two stages in the process of normalization to

methods of WP, they are process improvement

criteria weights (W) with Equation 2, then do the

normalization process (S) matrix decision by

multiplying the rating attribute, where the rating

attribute must first be raised to the weight of

attributes, such as the equation 3.

where is preference value for each alternative

which having larger indicate the alternatives

chosen. is the attribute weights, alternatives are

rating each attribute and is the result of on decision

matrix normalization alternative to i. This research

can be a reference for the methods to solve the

problems of election boarding house with the

fulfillment of the criteria optimal as an important

element to produce the best boarding house. Then,

a list of the best boarding is used as input by WP

method to select the best boarding houses in the

yield level of importance of each criterion that is

optimal with limited 18 criteria for boarding houses

in the area of Sukolilo, Institute of Technology

Surabaya as many as 150 homes.

3. EXPERIMENTS AND RESULTS

Based on the steps to resolve the problem of

selecting the best boarding method FMADM, the

first step is to determine the criteria to be used as

reference in decision making as in Table 1. The

implemetation of 18 criteria is shown in Figure 2.

The second step is to determine the level of

importance of each criterion into 5 sets ( very high,

high, Pretty, Low, very Low). Based on the results

of the tests on 100 respondents and 18 criteria of

the level of interest, the highest weight value of 1 is

the criteria of all three, the high level of importance

is worth 0.8 on the criteria of the 1st, 2

nd, 4

th, 10

th,

to14th

and 16th

. While the interest rate is quite worth

0.6 criteria which can be found in the 5th

, 6th

, 7th

,

9th

, 11th

, 13th

, 15th

and 18th

criteria. The lower

interest rate which is worth 0.4 criteria can be

found in the 8th

, 12th

, and 17th criteria. Meanwhile,

the very low level of interest worth 0.2 does not

have the weight values (at 0), shown in Figure 3.

Figure 2. Implementasi of Criteria

Figure 3. The weight of the interest Levels for each

criterion

The third step is to make decisions selecting a

number of alternatives based on criteria, such as A1

is an alternative to the first boarding house on street

of Gebang Kidul 11, on street of Gebang Wetan 42

as A2, and A3 on the street of Gebang Lor 88A. The

fourth step determines the weight value of each

alternative which is based on predetermined

criteria. It is shown in Table 2.

Table 2. Weights of Each Alternative

Nomor of Criteria

Type

A1 A2 A3

1 0.8 0.8 0.8

2 0.6 0.2 1

3 0.8 0.6 0.4

4 0.8 1 1

5 0.8 0.8 0.6

6 0.8 0.8 0.4

7 0.4 0.4 0.4

8 0.4 0.4 0.4

9 0.6 0.4 0.6





56

10 0.8 0.6 0.6

11 0.8 1 0.6

12 1 1 0.6

13 0.4 0.6 0.6

14 0.8 1 0.6

15 0.6 0.8 0.6

16 0.2 0.6 0.4

17 0.2 0.2 0.2

18 0.6 0.4 1

The fifth step is arranging the weights into the

decision matrix (X), as follows:

The sixth step is the process of ranking using

Weighted Product (WP). The results of the

normalization of weight (W) using Equation 2 can

be seen in Table 3. In addition, the process of

normalization (S) uses a decision matrix equation 3,

where the advantage of having the rank attribute is

positive while the cost attribute the rank is negative.

Attribute advantages such as the type of the third

criterion to criteria to 18, while the cost attribute is

an attribute that contains elements such as the cost

of criteria 1 and 2. The experiment results of the

three alternatives for normalization (S) decision

matrix can be seen in Table 4. The seventh step is

the process of preference for each alternative (V),

in which the preference value for each alternative

with a larger value indicates that the alternative is

chosen, it can be seen in Table 5.

Table 3. Normalization of Weights to Each of The

Criteria

Type Weight

of Criteria

Value Type Weight

of Criteria

Value

W1 0.0678 W10 0.0678

W2 0.0678 W11 0.0508

W3 0.0847 W12 0.0339

W4 0.0678 W13 0.0508

W5 0.0508 W14 0.0678

W6 0.0508 W15 0.0508

W7 0.0508 W16 0.0678

W8 0.0339 W17 0.0339

W9 0.0508 W18 0.0508

Table 4. Normalization value (S) of the Three

Alternatives

Attribute

weights

A1 A2 A3

-0.0678 0.8 0.8 0.8

-0.0678 0.6 0.2 1

0.0847 0.8 0.6 0.4

0.0678 0.8 1 1

0.0508 0.8 0.8 0.6

0.0508 0.8 0.8 0.4

0.0508 0.4 0.4 0.4

0.0339 0.4 0.4 0.4

0.0508 0.6 0.4 0.6

0.0678 0.8 0.6 0.6

0.0508 0.8 1 0.6

0.0339 1 1 0.6

0.0508 0.4 0.6 0.6

0.0678 0.8 1 0.6

0.0508 0.6 0.8 0.6

0.0678 0.2 0.6 0.4

0.0339 0.2 0.2 0.2

0.0508 0.6 0.4 1

Normalization

(S) of The

Decision Matrix

0.6602 0.7602 0.5942

Table 5. Preference value of each alternative

Decision

Matrix

Total of

Decision

Matrix

(ΣS)

Decision Matrix

S1 S2 S3

S1 2.0146 0.660 0 0

S2 2.0146 0 0.760 0

S3 2.0146 0 0 0.594

Preference value 0.327 0.377 0.294

So that in this research, the method of FMADM

can be used as a reference method in solving the

problems of boarding house election with WP

methods to choose a best boarding house to deliver





57

the level of importance of each criterion that is

optimal in the area of Sukolilo, Institute of

Technology Surabaya to help students or workers in

finding a boarding house that is best around the

area of Sukolilo, Institute of Technology Surabaya

in terms of the criteria that is dominant such a

cheap price, full facilities, and the shortest distance

to the destination. With based on the analysis of

experimental data, the three largest preference

value is owned by the second alternate with a value

of 0.3773. The solutions from a decision support

system for the search of the best boarding house is

located on the second alternative data (A2) on Street

of Gebang Wetan 42 which can be seen in Figure 4

for the implementation of the electoral system a

boarding house.

Figure 4. Implementation of The Selection System of

Boarding House Using FMADM Method

4. CONCLUSION

This research results a solution to complete the

selection process of best boarding house which is

useful for students or job seekers to find a boarding

house in the area of Sukolilo, Institute of

Technology Surabaya with some dominant criteria.

Based on trials of the system implementation, the

wide selection of boarding house seekers can

choose as an alternative boarding house. After that,

they do the process with FMADM method which

can solve the problems of the boarding home

selection criteria to meet the optimal point as an

important element to produce the best boarding

house. Then, a list of the best boarding is used as an

input by WP method to select the best boarding

houses in the yield level of importance of each

criterion that is optimal with 18 criteria with the

limitations indicated the level of importance of each

criterion. The success of the quality obtained used

100 respondents out of 18 criteria for testing three

of the location of the boarding house for one of the

process and the three of different values

preferences. The data of the location of the

boarding house are used while testing the best

location of the boarding house lies in the location of

boarding house on the street of Gebang Wetan 42

and a preference value (V) is 0.3773.

5. SUGGESTION

This research will continue to classify a boarding

house with a hybrid method that will be applied in

building a system that makes it easy to analyze data

in a boarding house with several criteria. From here

will come the analysis which can be used as a

consideration in determining the wisdom of his

rented house marketing strategies to improve

efficiency and profit from both the search and the

owner of a boarding house.

REFRENCES:

[1] YonaWidya Sabrina Suprihatini, FahrulAgus,

Hamdani, “Boarding House Selection system of

GIS-Based Method Using ELECTRE and

GOOGLE MAPS API.Journal of information of

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[2] Muhammad Ichsan, Rahmat Syah, Muhd. Iqbal.

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